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Answer: Migrate the workload to a Compute Engine VM and start and stop the instance as needed.
Option B is correct because migrating the job to a Compute Engine VM and managing its lifecycle (starting and stopping as needed) is cost-effective and ensures the job can be restarted if interrupted, without the risk of premature termination. Preemptible VMs (Options A and D) are unsuitable due to their 24-hour runtime limit and the possibility of termination at any time, which could prevent the job from completing. Option C, while offering some fault tolerance, does not guarantee completion of the 40-hour job within the constraints of Preemptible VMs. Thus, Option B is the most reliable and cost-efficient approach for this scenario.
Author: LeetQuiz Editorial Team
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A steel company is transitioning its digital processes to the Google Cloud Platform and has identified a monthly batch job, which takes 40 hours to complete on-premises, as a candidate for migration. The job can be performed offline but must be restarted if interrupted. What is the optimal strategy for migrating this workload to GCP?
A
Migrate the workload to a Google Kubernetes Engine cluster with Preemptible nodes.
B
Migrate the workload to a Compute Engine VM and start and stop the instance as needed.
C
Create an Instance Template with Preemptible VMs On, then create a Managed Instance Group from the template and adjust Target CPU Utilization.
D
Migrate the workload to a Compute Engine Preemptible VM.
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